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Clarify usage: these are plain LoRA weights, ComfyUI and local first, hosted endpoints as one option

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@@ -56,9 +56,38 @@ It is the successor of [MiniMax-H3-Realism-LoRA](https://huggingface.co/fal/Mini
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  ## How to use
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- Use the adapter with the LoRA endpoint on fal:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Text to video: [fal.ai/models/minimax/h3/text-to-video/lora](https://fal.ai/models/minimax/h3/text-to-video/lora)
 
 
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  ```json
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  {
 
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  ## How to use
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+ These are plain LoRA weights. Nothing here is tied to a hosted service — run them
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+ wherever you run MiniMax H3.
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+
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+ ### Locally, in ComfyUI
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+
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+ Download the `.safetensors` and drop it in `models/loras/`, then insert a **Load LoRA**
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+ node between your model loader and the sampler. No conversion step: the keys are the
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+ standard H3 layout (`diffusion_model.blocks.N.attn.qkv_proj`, fused QKV), the same one
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+ other working H3 LoRAs use, so ComfyUI loads it as-is.
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+
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+ ```
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+ wget https://huggingface.co/fal/MiniMax-H3-Realism-People-LoRA/resolve/main/h3-realism-people-t2v-i2v-r2v.safetensors
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+ ```
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+
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+ Start the prompt with the trigger word `r34l1sm`, then describe the scene. Scale 1.0 is
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+ the intended strength; 0.6-0.8 for a lighter touch. It works on text to video, image to
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+ video and reference to video, since the adapter only touches the shared attention
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+ projections.
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+
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+ ### In your own code
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+
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+ Any inference stack that can apply a LoRA to H3 will take it. The application is the
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+ usual `W_eff = W + lora_B @ lora_A`.
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+
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+ ### On a hosted endpoint
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+
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+ If you would rather not run it yourself, fal exposes the H3 LoRA endpoints — but this is
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+ one option among others, not a requirement:
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  - Text to video: [fal.ai/models/minimax/h3/text-to-video/lora](https://fal.ai/models/minimax/h3/text-to-video/lora)
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+ - Image to video: [fal.ai/models/minimax/h3/image-to-video/lora](https://fal.ai/models/minimax/h3/image-to-video/lora)
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+ - Reference to video: [fal.ai/models/minimax/h3/reference-to-video/lora](https://fal.ai/models/minimax/h3/reference-to-video/lora)
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  ```json
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  {